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Maxwell Tsoka; Jeanne Kriek – Athens Journal of Education, 2025
Digital technology (DT) does not come with a 'menu' of what teachers can select to transform their instructional practices; it is through use and reflection in/on practice that potential affordances are abstracted. Computer simulation (CS) as DT was explored through auto-ethnography, reflexivity, and action research. The findings of the study…
Descriptors: Educational Technology, Rural Schools, Computer Simulation, Student Needs
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Jessica Lees; Torsten Ris?r; Linda Sweet; Margaret Bearman – Advances in Health Sciences Education, 2025
The presence of digital technologies in clinical learning environments is increasing. However, there is little research into how technologies influence the interplay between touch and the acquisition of physical examination skills by health professional students. In this study, we aimed to explore how digital technologies feature in clinical…
Descriptors: Clinical Teaching (Health Professions), Computer Uses in Education, Physical Examinations, Medical Education
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Anett Wolgast; Stefan Bieletzke – European Journal of Psychology and Educational Research, 2025
Research on academic outcomes has extensively explored students' emotions, motivation, and learning behavior. While further research highlights the role of individual interactions with generative artificial intelligence (AI), a gap exists in understanding the longitudinal dynamic associations between university students' interactions with AI…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Computer Uses in Education
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Suzanne Estaphan; David Kramer; Harry J. Witchel – Advances in Physiology Education, 2025
The rise of artificial intelligence (AI) is transforming educational practices, particularly in assessment. While AI may support the students in idea generation and summarization of source materials, it also introduces challenges related to content validity, academic integrity, and the development of critical thinking skills. Educators need…
Descriptors: Artificial Intelligence, Assignments, Student Evaluation, Computer Literacy
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Justin C. Dunlap; Ryan Sissons; Ralf Widenhorn – Physical Review Physics Education Research, 2025
[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] We present a study in which a version of a common conservation of mechanical energy introductory physics problem, an object released on an inclined plane, is given to OpenAI's GPT-4 large language model (LLM). We…
Descriptors: Artificial Intelligence, Mechanics (Physics), Problem Solving, Energy
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Alexis M. F. Morin; Justin R. Eck – Journal of Occupational Therapy Education, 2025
The COVID-19 pandemic heightened the need for digital transformation in higher education, emphasizing the importance of incorporating digital pedagogy. This study explored student experiences and perceptions of digital storytelling, a multimedia-based narrative technique, as an innovative assessment method in occupational therapy education.…
Descriptors: Student Experience, Student Attitudes, Story Telling, Computer Uses in Education
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Yu Zhang; Dianyong Zhu; Lawrence Jun Zhang – European Journal of Education, 2025
Despite growing research interest in digital multimodal composing (DMC) in L2 contexts, its developmental trajectory remains largely underexplored. To address this gap, we conducted a scientometric review using CiteSpace on 128 publications indexed in the Web of Science Core Collection. Our analysis reveals a rapid growth in DMC research over the…
Descriptors: Writing (Composition), Computer Uses in Education, Educational Research, Scoring Rubrics
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James T. Davis – HAPS Educator, 2025
The use of large language models (LLMs) in education is often debated, but when used effectively, they can enhance learning. LLMs can be particularly useful for reinforcing physiology concepts, such as diagnostic reasoning in acid-base balance disorders. Traditional case-based learning is limited by the number of instructor-provided cases, whereas…
Descriptors: Physiology, Artificial Intelligence, Computer Uses in Education, Case Method (Teaching Technique)
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Nilufeur McKay; Michelle Pedlow; Peter Palamara; Fiona Foxall – International Journal of Work-Integrated Learning, 2025
The objective of this study was to evaluate the impact of an educationally designed digital clinical workbook for Master of Nursing (Nurse Practitioner) students' work-integrated learning experience. Sixteen students completed an anonymous online survey consisting of closed questions and open-ended free text items to capture students' experience…
Descriptors: Nursing Students, Masters Programs, Graduate Students, Clinical Experience
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Gareth W. Young; Neill O'Dwyer; Nicholas Johnson; Aljosa Smolic – Arts and Humanities in Higher Education: An International Journal of Theory, Research and Practice, 2025
Online virtual worlds have increasingly become meeting places for students and teachers to discuss and collaborate on diverse academic subjects and practices. Furthermore, in response to the recent global COVID-19 pandemic, there has also been a heightened drive to provide online educational facilities that harness immersive virtual environments…
Descriptors: Computer Simulation, Computer Uses in Education, Film Study, Drama Education
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Laura Hollinshead; Emma Hyde – Research in Learning Technology, 2025
Person-centred care (PCC) has become an integral part of health education with many incorporating this into curricula (McCormack et al., 2022). However, PCC can require whole scale revisions of programmes of study, which can lead to difficulties in time and navigating quality processes (Moore et al., 2023). In the UK, continued workforce shortages…
Descriptors: Allied Health Occupations Education, Computer Uses in Education, Foreign Countries, Undergraduate Students
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Sean Kelly; Gizem Guner; Nicholas Hunkins; Sidney K. D'Mello – International Journal of Artificial Intelligence in Education, 2025
We present the Teacher Talk Tool, which automatically analyzes classroom audio and provides formative feedback on key aspects of teachers' classroom discourse (e.g., use of open-ended questions). The tool was designed to promote teacher learning by focusing attention and sense-making on their discourse. We conducted a feedback-response study where…
Descriptors: High School Teachers, English Teachers, Classroom Communication, Automation
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Fahmi Ulum Al Mubarok; Annas Fajar Rohmani; Lutfi Zaki Al Manfaluthi; Muhammad Salman Al Farisi – Journal of Learning for Development, 2025
This bibliometric analysis provides a comprehensive overview of the research trajectory on "Game-based Mobile Learning" based on Scopus-indexed publications from 2006 to 2024. The study revealed significant growth in scholarly output, peaking in 2023, reflecting the increasing academic and practical interest in integrating game elements…
Descriptors: Bibliometrics, Literature Reviews, Game Based Learning, Electronic Learning
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Perrotta, Carlo; Gulson, Kalervo N.; Williamson, Ben; Witzenberger, Kevin – Critical Studies in Education, 2021
Digital platforms have become central to interaction and participation in contemporary societies. New forms of 'platformized education' are rapidly proliferating across education systems, bringing logics of datafication, automation, surveillance, and interoperability into digitally mediated pedagogies. This article presents a conceptual framework…
Descriptors: Computer Uses in Education, Automation, Instruction, Participation
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Bambang Sulistio; Arief Ramadhan; Edi Abdurachman; Muhammad Zarlis; Agung Trisetyarso – Education and Information Technologies, 2024
Computer science development, especially machine learning, is a thriving innovation essential for education. It makes the process of teaching and learning more accessible and manageable and also promotes equality. The positive influence of machine learning can also be felt in Islamic studies, particularly in Hadith studies. This literature review…
Descriptors: Electronic Learning, Artificial Intelligence, Computer Uses in Education, Islam
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